Evidence map›Paper›PMID 38802908›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2024

[Clinical characteristics of children on prolonged mechanical ventilation due to different primary diseases].

Jun-Zhen Zhu, Zheng Li, Li-Dan Cui, Shi-Yue Mei, Xiao-Lei Li, Bing Fang, Su-Yun Qian, Yi-Bing Cheng

Abstract readEnglish Abstract
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jun-Zhen ZhuDepartment of Pediatric Intensive Care Unit, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450018, China.
Zheng Li
Li-Dan CuiDepartment of Pediatric Intensive Care Unit, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450018, China.
Shi-Yue Mei
Xiao-Lei LiDepartment of Pediatric Intensive Care Unit, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450018, China.
Bing FangDepartment of Pediatric Intensive Care Unit, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450018, China.
Su-Yun Qian
Yi-Bing ChengDepartment of Pediatric Intensive Care Unit, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou 450018, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the differences in clinical characteristics among children on prolonged mechanical ventilation (PMV) due to different primary diseases.

methodsA retrospective analysis was performed on the clinical data of 59 pediatric patients requiring PMV from July 2017 to September 2022. According to the primary disease, they were divided into respiratory disease (RD) group, central nervous system (CNS) group, neuromuscular disease (NMD) group, and other disease group. The four groups were compared in terms of general information, treatment, and outcome.

resultsThere were significant differences among the four groups in age, body weight, Pediatric Logistic Organ Dysfunction-2 (PELOD-2) score, Pediatric Risk of Mortality III (PRISM Ⅲ) score, analgesic and sedative treatment, nutrition supply, rehabilitation treatment, tracheotomy, successful ventilator weaning, and outcomes (

conclusionsThere are differences in clinical characteristics among children receiving PMV due to different etiologies. Most children in the RD group have a younger age, and children in the CNS group have a relatively good prognosis.

Indexed as

Neuromuscular DiseasesRespiration, ArtificialCentral Nervous System DiseasesChildChild, PreschoolFemaleHumansInfantMaleRespiratory Tract DiseasesRetrospective StudiesChildCritical illnessEtiologyProlonged mechanical ventilation

Identifiers

PMID38802908
PMCPMC11135061

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.